EXPERT PARTNER - DATA & ANALYTICS - IT STRATEGY CONSULTING

Description About the role.
Gartner’s Consulting business is an extension of Gartner’s industry-leading IT Research.
From CIOs, to leaders in business and government, we help Gartner clients across enterprises translate insights into transformational actions and achieve their mission-critical priorities.
Leveraging the breadth of Gartner’s resources, Consulting is growing rapidly, with unlimited potential to continue expanding our client base.
Technology Strategy Consulting.
We help the C-suite make the right decisions based on how technology can transform their businesses.
In today’s world, a consulting firm that is “born digital”, (with the ability to directly leverage the full power of Gartner’s research and insights) has relevance to the most important strategic decisions any business will make.
We deliver value to clients in areas such as IT Strategy Consulting, Benchmarking, Analytics and Optimization.
Typically, this helps Gartner’s clients to execute on their strategic priorities, across all sectors, including.
Digital Growth and Transformation Applications, Infrastructure and Security Modernization Sourcing and Spent Optimization The Role.
You will help our clients navigate the complex world of modern AI, data science and analytics.
We'll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization – starting with key business issues they face.
This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.
Key Responsibilities.
A consistent track record of selling and managing engagements, leading multi-domain teams across geographies to exceed client expectations.
Work with clients on their most critical Data and Analytics priorities Align data, analytics & AI initiatives to strategic business outcomes and priority use cases Design effective, sustainable data, analytics and AI programs that include appropriate governance, operating models and technology architectures; Increase the decision-making capacity with Data Literacy for their people and Decision Intelligence for their decision models and algorithms Deep experience with Data, Analytics, AI and Automation Solutions / tools including understanding of various service providers and tools available in the marketplace Deep technical / solution architecture experience deconstructing business problems into actions, addressing these with various technologies, specifically AI, ML and GAI.
Collaborate with clients to establish AI programs and processes for scaling delivery of AI solutions (e.
., MLOPs, ModelOps) Present findings, insights, and recommendations to both technical and non-technical stakeholders in a clear and concise manner.
Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies.
Requirements.
Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related discipline.
10+ years of relevant project experience in successfully launching, planning, executing data science projects.
Preferably in the context of a consulting engagement.
Basic coding knowledge and experience in several languages for example.
R, Python/ Jupyter, SAS, Java, Scala, C++, Excel, MATLAB, etc.
Experience with popular database programming languages including SQL, PL/SQL, others.
Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms.
RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
Basic knowledge and experience in statistical and data mining techniques such as.
generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc].
Experience with data visualization tools and techniques to effectively communicate insights and findings.
Excellent problem-solving skills and ability to think critically to tackle complex business problems.
Strong communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
Ability to work independently and collaboratively in a fast-paced and dynamic environment.
Proven track record of delivering high-quality results within deadlines.
Join our team and contribute to our data-driven culture, where your expertise will be valued and your contributions will have a direct impact on our success.
We offer competitive compensation, professional development opportunities, and a supportive work environment that fosters innovation and growth.
#LI-SC2 Who are we? At Gartner, Inc.
(NYSE.
IT), we deliver actionable, objective insight that drives smarter decisions and stronger performance on an organization’s mission-critical priorities.
We’ve grown exponentially since our founding in and we're proud to have over associates globally that support over client enterprises in more than 100 countries.
What makes Gartner a great place to work? Our teams are composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.
We believe that a diversity of experiences makes us stronger—as individuals, as communities and as an organization.
That’s why we're recognized worldwide as a great place to work year after year.
We've been recognized by Fortune as one of the World’s Most Admired Companies, named a Best Place to Work for LGBTQ Equality by the Human Rights Campaign Corporate Equality Index and a Best Place to Work for Disability Inclusion by the Disability Equality Index.
Looking for a place to turn your big ideas into reality? Join #LifeAtGartner What we offer.
Our people are our most valuable asset, so we invest in them from Day 1.
When you join our team, you’ll have access to a vast array of benefits to help you live your life well.
These resources are designed to support your physical, financial and emotional well-being.
We encourage continued personal and professional growth through ongoing learning and development opportunities.
Our employee resource groups, charity match and volunteer programs keep you connected to your internal Gartner community and causes that matter to you.
Gartner believes in fair and equitable pay.
A reasonable estimate of the base salary range for this role is USD - USD.
Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location.
In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan.
Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates.
We also offer market leading benefit programs including generous PTO, a 401k match up to $ per year, the opportunity to purchase company stock at a discount, and more.
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.
Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities.
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You may request reasonable accommodations by calling Human Resources at + or by sending an email to  .
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